清镇式铁矿矿石特征及加工技术性能探讨 ——以猫场铝土矿红花寨、白浪坝矿段铁矿床为例

贵州中部清镇、修文等地石炭系铝土矿底部的铁矿俗称为"清镇式铁矿",与黔中铝土矿共同赋存于下石炭统九架炉组之中。本文在实际勘探工作及通过勘探阶段在钻孔副样中采集的铁矿进行可选性试验基础上,以同类型的清镇市猫场铝土矿红花寨、白浪坝矿段铝土矿共生的铁矿为研究对象,指出该类型铁矿矿石自然类型为赤铁矿和褐铁矿;工业类型为需选铁矿石;矿石矿物主要为赤铁矿,部分赤铁矿水化为针柱状褐铁矿;脉石矿物则以白云石和方解石为主。矿石中可供利用的主要元素是铁,造渣组分主要是硅、铝,其次为钙、镁等。试验结果表明,该矿采用一粗一精一扫的强磁选试验可获得铁精矿TFe含量55. 58%,回收率80. 11%的良好指标,精矿中各元素含量达到H55-Ⅰ类赤铁精矿质量要求,在当前市场条件下采用推荐工艺处理该矿可获利。结论对黔中铝土矿资源的综合勘查开发具有借鉴意义。     

准噶尔盆地浅覆盖区浅钻化探找矿方法探索

通过拉伊克勒克典型浅覆盖区浅钻化探成果,介绍了浅钻化探工作方法和取得的试验研究成果,显示该方法有效,经济可行,效率较高,操作简便,充分证明了浅钻化探技术在准噶尔干旱荒漠浅覆盖区是有效的找矿手段。     

安徽巢湖苏湾地区综合地质特征及找矿远景

安徽巢湖苏湾地区构造格架位于郯庐断裂带东侧滁州—苏湾金多金属矿成矿带。对近年来取得的地质成果,包括成矿地质特征、物化探特征、地球化学特征、矿化蚀变特征等进行系统分析研究,认为灯影组中段为研究区主要赋矿层位,是研究区重要找矿远景区,F1断层为主要控岩控矿构造,地磁异常为寻找类似山里许铁铜金矿的远景部位。     

鄂西南岩溶地貌遗迹类型与特征分析

岩溶地貌是整个鄂西南地区综合价值最高、数量最丰富、可代表全区地质遗迹典型特色的地质遗迹类型,具有重要保护与开发利用价值。基于全省重要地质遗迹调查项目,按照地质遗迹调查标准有关要求,通过对前人成果系统收集整理并开展补充调查,筛选汇总鄂西南全区重要岩溶地貌地质遗迹25处。本文将岩溶地质遗迹分为地表类型、过渡类型、地下类型三种类型,结合典型地质遗迹点对岩溶地貌的形态特征和成因进行分析,为鄂西南地区地质旅游产业高质量发展提供依据。     

Binary Star Fractions from the LAMOST DR4

Stellar systems composed of single, double, triple or higher-order systems are rightfully regarded as the fundamental building blocks of the Milky Way. Binary stars play an important role in formation and evolution of the Galaxy. Through comparing the radial velocity variations from multiepoch observations, we analyze the binary fraction of dwarf stars observed with LAMOST. Effects of different model assumptions, such as orbital period distributions on the estimate of binary fractions,are investigated. The results based on log-normal distribution of orbital periods reproduce the previous complete analyses better than the power-law distribution. We find that the binary fraction increases with Teff and decreases with [Fe/H]. We first investigate the relation between α-elements and binary fraction in such a large sample as provided by LAMOST. The old stars with high [α/Fe] dominate with a higher binary fraction than young stars with low [α/Fe]. At the same mass, earlier forming stars possess a higher binary fraction than newly forming ones, which may be related with evolution of the Galaxy.     

Improved Priority‐Flood method for depression filling by redundant calculation optimization in local micro‐relief areas

Depression filling is a critical step in distributed hydrological modeling using digital elevation models (DEMs). The traditional Priority‐Flood (PF) approach is widely used due to its relatively high efficiency when dealing with a small‐sized DEM. However, it seems inadequate and inefficient when dealing with large high‐resolution DEMs. In this work, we examined the relationship between the PF algorithm calculation process and the topographical characteristics of depressions, and found significant redundant calculations in the local micro‐relief areas in the conventional PF algorithm. As such calculations require more time when dealing with large DEMs, we thus propose a new variant of the PF algorithm, wherein redundant points and calculations are recognized and eliminated based on the local micro‐relief water‐flow characteristics of the depression‐filling process. In addition, depressions and flatlands were optimally processed by a quick queue to improve the efficiency of the process. The proposed method was applied and validated in eight case areas using the Shuttle Radar Topography Mission digital elevation model (SRTM‐DEM) with 1 arc‐second resolution. These selected areas have different data sizes. A comparative analysis among the proposed method, the Wang and Liu‐based PF, the improved Barnes‐based PF, the improved Zhou‐based PF, and the Planchon and Darboux (P&D) algorithms was conducted to evaluate the accuracy and efficiency of the proposed algorithm. The results showed that the proposed algorithm is 43.2% (maximum) faster than Wang and Liu's variant of the PF method, with an average of 31.8%. In addition, the proposed algorithm achieved similar performance to the improved Zhou‐based PF algorithm, though our algorithm has the advantage of being simpler. The optimal strategies using the proposed algorithm can be employed in various landforms with high efficiency. The proposed method can also achieve good depression filling, even with large amounts of DEM data.     

A New Scheme for the Simulation of Microscale Flow and Dispersion in Urban Areas by Coupling Large-Eddy Simulation with Mesoscale Models

A coupling scheme is proposed for the simulation of microscale flow and dispersion in which both the mesoscale field and small-scale turbulence are specified at the boundary of a microscale model. The small-scale turbulence is obtained individually in the inner and outer layers by the transformation of pre-computed databases, and then combined in a weighted sum. Validation of the results of a flow over a cluster of model buildings shows that the inner- and outer-layer transition height should be located in the roughness sublayer. Both the new scheme and the previous scheme are applied in the simulation of the flow over the central business district of Oklahoma City (a point source during intensive observation period 3 of the Joint Urban 2003 experimental campaign), with results showing that the wind speed is well predicted in the canopy layer. Compared with the previous scheme, the new scheme improves the prediction of the wind direction and turbulent kinetic energy (TKE) in the canopy layer. The flow field influences the scalar plume in two ways, i.e. the averaged flow field determines the advective flux and the TKE field determines the turbulent flux. Thus, the mean, root-mean-square and maximum of the concentration agree better with the observations with the new scheme. These results indicate that the new scheme is an effective means of simulating the complex flow and dispersion in urban canopies.